# Copyright 2025 the LlamaFactory team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from typing import TYPE_CHECKING, Union


if TYPE_CHECKING:
    from datasets import Dataset as HFDataset
    from datasets import IterableDataset
    from torch.utils.data import DataLoader as TorchDataLoader
    from transformers import PreTrainedModel, PreTrainedTokenizer, ProcessorMixin

    Dataset = Union[HFDataset, IterableDataset]
    DataLoader = TorchDataLoader
    Model = PreTrainedModel
    Processor = Union[PreTrainedTokenizer, ProcessorMixin]
else:
    Dataset = None
    DataLoader = None
    Model = None
    Processor = None
